How to Use Google Veo 3 for AI Video Generation

Technical writer

Infrastructure

29.10.2025

12 min read

In mid-2025, Google introduced the third version of its proprietary video generator: Veo. The new model not only creates high-quality visuals but also provides realistic audio tracks, including environmental sounds and character dialogues.

In a sense, Google has created something entirely new—something revolutionary—a technology capable of making a quantum leap in video generation. Thanks to this, distinguishing real videos from AI-generated ones will soon become much more difficult.

That’s why it’s important to understand what the new Veo 3 neural network is and which special tools Google provides for working with it. Let’s explore this in detail.

What Is Google Veo 3

Google Veo is a generative model for creating videos, developed and released by Google in mid-2024. Its main innovation is the native ability to generate audio: sound effects, background music, and dialogues synchronized with lip movements.

A frame from one of the official videos generated using Google Veo 3

The audio track of generated videos automatically adapts to the context of the scene, adding appropriate effects as needed: natural sounds, urban ambiance, musical accompaniment, and even human speech with dialects and accents specific to the characters.

Thus, the Veo 3 artificial intelligence combines high-quality visuals, realistic physics, and synchronized audio.

Features of Veo 3

The updated Veo 3 model has a number of features that distinguish it from other AI video generation services:

Longer duration. The duration of generated videos can exceed the standard five seconds common for many AI video generators. The maximum video length is eight seconds.
Synchronized audio support. Video is accompanied by environmental sounds, music, and speech, all realistically synchronized with the visuals.
Physical accuracy. Hyper-realistic motion of objects, materials, characters, and light throughout the video.

This combination of exceptional characteristics makes Google Veo 3 an ideal tool for generating cinematic, animated, or any other videos with high visual dynamics and deep storylines.

Thanks to these features, Veo 3 can already be used in professional settings: for UGC content (for example, YouTube), short ads, or even full-length films.

Another frame from one of the official videos generated using Google Veo 3

For instance, filmmaker Dave Clark has already used Veo 2 and Veo 3 in several of his short films. Another director, June Lau, also places great hopes on Google’s cutting-edge model, using Veo 3 to create a short film titled Dear Strangers. Filmmaker Yonatan Dor created his own short film, The History of Influencers, using Veo 3, featuring fictional influencers from different eras.

In general, the number of directors and artists integrating Google’s AI tools into their content creation process is growing rapidly. However, it’s worth noting that Veo 3 is still not enough to create a full-fledged movie; it serves best as an auxiliary tool.

Capabilities of Veo 3

The new version of Veo includes several ways to generate video using different types of input data:

Text-to-video. The primary method of video generation in Veo 3 is based on a detailed (preferably very detailed) text description.
Image-to-video. Veo 3 can generate videos based on text or images. Moreover, any image used as input can be enhanced with a textual description that clarifies the scene’s behavior.
Video-to-video. Using additional tools (Flow), users can upload existing videos and apply modifications with Veo 3: adding or removing objects, changing visual styles, adjusting camera behavior, editing object movement, and their accompanying sounds.

As previously noted, Veo 3 videos integrate all attributes of traditional, non-computer-generated footage. The standard output resolution is 720p, but the upscaling feature allows increasing it up to 4K.

Veo 3 Tools

It’s important to note that Veo 3 cannot be used “as is”—additional Google tools are required.

Flow

Google offers a special tool that combines Veo (video), Imagen (images), and Gemini (text) models in a single director-style interface called Flow. Essentially, it’s Google’s central content creation platform.

With Flow, users can precisely edit videos: extend frames, add new details, animate specific elements, adjust camera movement, store styles, and more.

This editor is ideal for solo and manual work as it allows quick creation of short clips with instant preview and fine-tuning. Everything happens in a single window.

At the same time, Flow requires minimal technical setup: no cloud account, billing, or SDK is needed; video generation happens directly within the visual interface.

Demonstration of the Flow graphical interface at the Google I/O 2025 presentation (Kerry Wan/ZDNET)

Gemini

With the Gemini LLM neural network, users can generate precise prompts for video generation via Flow. In simple terms, Gemini serves as a converter that transforms more human-style text descriptions into more machine-readable ones, though both are still in natural language and easy to understand.

For example, you can find an image online or generate one using another AI tool (e.g., Midjourney), attach it to a message in the Gemini chatbot (or any other LLM), and provide an additional description:

“I need precise prompt is needed for Google Veo 3 to generate a short video from this image, where three men are pushing a banana-shaped car with a driver at the wheel, and as the car gains speed, it gradually turns yellow.”

Gemini will then generate a complete prompt for video generation and include explanatory comments, for example:

“A vintage car, half-peeled banana, driven by a man in a hat, is being pushed by three other men from behind. The car is initially in black and white, but as it gains momentum and the men push harder, the banana part of the car gradually becomes fully ripe yellow. The background shows a field with trees in the distance, also in black and white. Dynamic camera movement, tracking the car as it accelerates.”

This way, you can generate a video based on a reference image by following a simple sequence of steps:

Generate a prompt for image generation using an LLM (based on a description).
Generate the image (based on the prompt).
Generate a prompt for video generation (based on the description and image).
Generate the video (based on the prompt).

Alternatively, you can use a ready-made reference image from the Internet:

Generate a prompt for video generation (based on the description and image).
Generate the video (based on the prompt).

In a simplified version, you can also generate a video without using any reference images:

Generate a prompt for video generation (based on the description).
Generate the video (based on the prompt).

Or, you can manually write the prompt for video generation from scratch :)

Nevertheless, Gemini (naturally, in paid tiers) also allows generating videos using Veo 3. However, in most cases, Flow is used for video creation as it’s more convenient and visually intuitive. After all, Gemini is primarily designed for working with text rather than video.

Vertex AI

The Vertex AI platform represents an enterprise solution for large-scale cloud-based content generation and asset storage, that is, various media files needed for creating images and videos.

In essence, it’s a fully managed platform for developing, training, deploying, and maintaining AI models. It brings together all the tools needed for every stage of the machine learning cycle, from data preparation to model performance monitoring.

Thus:

Flow provides a convenient and visual approach.
Gemini delivers accurate and relevant prompts.
Vertex AI ensures a reliable and scalable infrastructure.

Together, they turn Veo 3 from an experimental service into a professional tool capable of solving real-world challenges across a wide variety of projects.

How to Use Veo 3: Step-by-Step Guide

After understanding the main tools, we can now look at how to generate a video using Veo 3. First of all, it’s important to note that to use Google Veo 3, you must have one of Google AI’s paid subscriptions:

Google AI Pro. Expands the basic functionality of Google’s AI tools. Starting at $19 per month.
Google AI Ultra. Offers maximum, virtually unlimited content-generation capabilities. Starting at $249 per month.

There’s no other official way to use Veo 3 within the Google ecosystem. A paid subscription is required. The only exceptions are third-party intermediary services or Telegram bots that provide Veo 3 video generation on a pay-per-video basis.

Another important detail: the Flow editor is only available in English. Moreover, prompts for Veo 3 must be written in English. The only exception is dialogue lines: they can be written in any other language, and Veo 3 will perfectly reproduce the described characters’ dialects.

Such a level of synchronization between sound and video, with extraordinary precision, amazes (and sometimes even frightens) people well-acquainted with modern technology.

Working with such a powerful generative model usually requires additional tools for convenient use. Therefore, Google offers several ways to interact with Veo 3, differing in their complexity.

Using Flow

Flow allows you to create scenes, control camera movement, manage assets, and edit clips, all without third-party tools. Essentially, it’s an intuitive visual editor for creating videos with Veo 3. Using it is simple:

Sign in. On the Flow homepage, log in with your Google account.
Create a project. Click the New project button. A page will open where you can enter a text prompt describing the desired video and its audio track.
Choose input type. On the prompt input page, select the source type for your video: Text to Video, Frames to Video, or Ingredients to Video. Choosing the latter two enables extra settings for camera behavior and frame composition.
Configure settings. On the same page, you can set generation parameters: the number of variants per prompt (1–4) and the model used (Veo 2 Fast, Veo 2 Quality, Veo 3 Highest Quality). Depending on the settings, each generation consumes 10–100 Flow credits.
Enter the prompt. Type your text prompt in the input field.
Generate. After entering the prompt, click the arrow button and wait 2–7 minutes. The generated videos and prompts will appear in the request history above the input field.

This is Flow’s basic functionality. In many ways, it resembles LLM chatbots, only instead of text, it produces video. Naturally, Flow also includes advanced tools for composing and editing video clips.

Using Gemini

To generate a video directly in the Gemini chatbot, follow these simple steps:

Sign in. Log in to Gemini with your Google account. After successful sign-in, the chat interface opens.
Activate video mode. Click the Video button next to the message input field to switch to video generation mode. This button is only available to users with a paid plan.
Enter the prompt. In the input field, describe the desired video in detail: environment, characters, lighting, camera behavior, style, and other details.
Generate. Click the arrow button or press Enter. The generation process takes 2–7 minutes, and the finished video will appear directly in the chat window.

Thus, Gemini unifies the generation of text (Gemini), images (Imagen), and video (Veo) in a single interface, which is quite convenient.

Of course, Gemini alone isn’t enough for professional video work—you’ll also need Flow and dedicated video-editing software. However, for presentations or idea visualization, Gemini is more than sufficient.

Using Vertex AI

Another way to use the Veo 3 model is through Vertex AI. Unlike Flow, which is built for creative work, Vertex AI is designed for professional, large-scale, and automated content creation.

Here’s a short sequence for generating videos with Vertex AI:

Sign in. Log in to Google Cloud Console with your Google account, then navigate to the Vertex AI section.
Open Media Studio. From the left sidebar, select Media Studio, and the page for choosing media generation models will open. Choose Veo.
Enter the prompt. On the next page, enter the text description of your video and configure the main parameters.
Generate. Click Generate and wait a few minutes for the video to appear in the interface.

Vertex AI provides distributed computing, cost monitoring, asset storage, and ML-process management, all centralized in Google Cloud. Thanks to the REST API, the platform also allows programmatically launching hundreds of video generations, integrating Veo 3 into third-party applications.

Pros and Cons of Veo 3

Google Veo 3 opens new horizons for automated video production, combining advanced audio generation with high-quality visualization. Understanding its strengths and weaknesses helps identify optimal use cases.

Advantages:

Visual and physical realism. Beyond realistic lighting, shadows, textures, and details, the model simulates accurate physical behavior of objects, substances, and characters.
Audio-video synchronization. Native audio generation (sound effects, music, dialogues) is tightly synchronized with the visuals.
Advanced prompt interpretation. Deep understanding of complex queries: mood, style, camera perspective (panning, zoom). Extensive creative control enables frame-to-frame consistency, maintaining stable characters and environments across angles.
Extended toolset. Integration with tools like Flow, Vertex AI, and Gemini provides a unified environment for generation, editing, and scene management.

Disadvantages:

Limited duration. The maximum video length (8 seconds at 24 fps) is independent of resolution. This is still short for production-scale work.
Synchronization artifacts. While lip-sync accuracy is high, minor artifacts can appear, especially with background characters (unnatural lip movement or blurring). Small body parts like hands, elbows, or feet may occasionally deform.
Prompt interpretation errors. The model sometimes overlooks details, misreads subtle emotions, or ignores secondary characters.
High cost. Subscription plans are expensive, mostly suitable for professional studios but less accessible for students, freelancers, or solo creators.
AI watermarking. Every video carries an invisible SynthID marker that can be detected via a special app.
Misinformation risks. The exceptional realism of Veo 3 could enable convincing deepfakes or spread fake news, raising ethical concerns.

Although Veo 3’s strengths outweigh its drawbacks, it can’t yet fully replace traditional video production. Still, it can easily serve as a powerful supplementary tool alongside classic video and graphics software.

Conclusion

It’s safe to say that Google Veo 3 is an innovative model that elevates AI-driven video generation to an astonishing new level. It combines realistic graphics, precise audio synchronization, and a robust physics engine.

The generated videos are so realistic and coherent that untrained viewers may not notice they’re artificial—and sometimes can’t tell at all.

The new version is perfect for those who need fast, high-quality short clips, from marketers and content creators to artists and filmmakers.

Infrastructure

29.10.2025

12 min read

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Infrastructure

How to Use Google Veo 3 for AI Video Generation

What Is Google Veo 3

Features of Veo 3

Capabilities of Veo 3

Veo 3 Tools

Flow

Gemini

Vertex AI

How to Use Veo 3: Step-by-Step Guide

Using Flow

Using Gemini

Using Vertex AI

Pros and Cons of Veo 3

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